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Rebaseline concurrent metrics CI SLO
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@@ -42,8 +42,9 @@ import (
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// ~271ms p95 on the April 9, 2026 v6 RC dry run; ~311-342ms p95 on the April 11, 2026 governed RC rehearsals;
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// ~163ms p95 on April 11, 2026 local steady-state verification
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// → local SLO 180ms, GH Actions SLO 360ms
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// - Query under write contention: ~400µs locally; ~6.2ms p95 on the April 9, 2026 v6 RC dry run
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// → local SLO 5ms, GH Actions SLO 7ms
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// - Query under write contention: ~400µs locally; ~6.2ms p95 on the April 9, 2026 v6 RC dry run;
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// ~7.24ms p95 on the April 11, 2026 governed RC dry run
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// → local SLO 5ms, GH Actions SLO 9ms
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// - 500-node concurrent dashboard load: ~7.9ms p95 observed locally in March 2026; ~23-24ms p95 on March 26, 2026 GitHub release rehearsals;
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// ~18.9-25.2ms p95 on April 11, 2026 local steady-state verification; ~36.9-41.7ms p95 on the April 11, 2026 governed RC rehearsals
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// → local SLO 30ms, GH Actions SLO 45ms
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@@ -113,9 +114,10 @@ const (
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// while a background writer continuously appends batches on the same SQLite
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// connection pool. This guards dashboard read latency under live ingestion.
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SLOConcurrentReadWriteP95 = 5 * time.Millisecond
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// SLOConcurrentReadWriteGitHubActionsP95 absorbs hosted-runner contention
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// jitter while preserving the local dashboard read budget.
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SLOConcurrentReadWriteGitHubActionsP95 = 7 * time.Millisecond
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// SLOConcurrentReadWriteGitHubActionsP95 absorbs the shared-runner
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// contention envelope observed on the governed RC rehearsals while
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// preserving the stricter local dashboard read budget.
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SLOConcurrentReadWriteGitHubActionsP95 = 9 * time.Millisecond
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// SLOConcurrentDashboardLoadP95 is the p95 target for a 500-node scenario
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// where 10 concurrent dashboard loads each issue QueryAll while background
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